Map
# introduction write an intro to convey the issue the goal of the
article :be careful of bikes
When Are Bikes at the Greatest Risk? A Look at Seasonal and weekly
Patterns

What Makes a Bike a Target? Analyzing Theft by Bicycle Type and
Value
Discuss any available data on bike types, brands, or values, showing
if certain bikes are more vulnerable to theft than others.
A Decade of Disappearing Bikes: Tracing Theft Trends Over Ten
Years
Displays the count of various bicycle-related offences reported to the
Toronto Police Service, highlighting categories such as stolen, found,
and other incidents. The smooth increase in bar heights emphasizes the
scale of each offence type, offering insights into the distribution and
relative frequency of these incidents from 2014 to 2024
Visualizes the monthly count of bicycle thefts reported to the Toronto
Police Service from 2014 to June 2024. The animation reveals seasonal
patterns and variations across different years, providing insights into
peak months and potential trends over time.
Mapping the Danger Zones: High-Risk Locations Across Toronto
Use a map visualization to highlight theft hotspots across Toronto,
pointing out neighborhoods or transit hubs with the highest incidence
rates.
Discussion
- Consolidation of all the info that we present, we first talk
about…this is how all visualizations are connected together, in the
future what can be done…
Conclusion
- short reminder for the audience, tips to protect their bikes
General tips: - This paper wants to tell the story about tips to
protect bikes
- after every visualizations talk a bit about the visualization
itself, key points, make sure the story that we are talking about is
proved by this visualization so each plot make sense (for example in
2016 there is a peak in May illustrated by the visualization, why? find
relevant news and articels to explain it and cite),
用更descriptive的形式去explain 你的visualization plot with proves.